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stat.ML2020
FairMixRep : Self-supervised Robust Representation Learning for Heterogeneous Data with Fairness constraints
Souradip Chakraborty, Ekansh Verma, Saswata Sahoo +1
Representation Learning in a heterogeneous space with mixed variables of numerical and categorical types has interesting challenges due to its complex feature manifold. Moreover, f…
cs.LG2020★ 3 cited
Learning Representation for Mixed Data Types with a Nonlinear Deep Encoder-Decoder Framework
Saswata Sahoo, Souradip Chakraborty
Representation of data on mixed variables, numerical and categorical types to get suitable feature map is a challenging task as important information lies in a complex non-linear m…
stat.ML2020
Graph Spectral Feature Learning for Mixed Data of Categorical and Numerical Type
Saswata Sahoo, Souradip Chakraborty
Feature learning in the presence of a mixed type of variables, numerical and categorical types, is an important issue for related modeling problems. For simple neighborhood queries…